File Systems

A Model Context Protocol (MCP) server that enables AI applications to access and analyze local code repositories without manual uploads, providing file listing, content reading, code searching, and project structure analysis capabilities.

Processes test scenarios from user prompts to generate complete WDIO test suites with intelligent file management that analyzes existing files to determine whether to update them or create new ones.

A comprehensive Model Context Protocol server providing capabilities for web scraping, data analysis, system monitoring, file operations, API integrations, and report generation.

Manages knowledge graph data synchronized with GitHub repositories, enabling remote storage and collaboration of memory entities, relationships, and observations.

A model-agnostic Model Context Protocol server implementation that works with any compatible AI model or client, allowing tools like file operations to be accessed through the MCP standard.

A Model Context Protocol server that enables interaction with Hadoop Distributed File System, allowing operations like listing, reading, writing, and managing HDFS files and directories.

A demonstration project that uses Google Gemini 2.0 Flash to interact with a locally hosted Model Calling Protocol server for managing user registration data stored in CSV files.

Enables AI assistants to search and access arXiv papers through a Model Context Protocol interface, allowing for paper search, download, listing, and reading functionality.

A FastAPI-based server that provides tools for local file management and Databricks operations, enabling users to create/edit files locally and interact with Databricks clusters, jobs, and DLT pipelines.

An MCP server that enhances sequential thinking with meta-cognitive capabilities including confidence tracking, hypothesis testing, and organized memory storage through graph-based libraries and structured JSON documents.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

Enables AI agents to programmatically manage GoHighLevel accounts through a Cloudflare Workers-based server. It currently supports CRUD operations for custom fields, custom values, and object folders with plans to include contact and pipeline management.

An MCP server that enables AI assistants to make HTTP requests and download files using curl, allowing them to interact with web APIs and content.

MCP server for macOS Automator that enables AI to control Mac computers by executing AppleScript/JXA, running automation workflows, and performing system-level tasks like sending emails and organizing files.

A Model Context Protocol implementation that bridges language models with LinkedIn's API, enabling profile access, posting content, searching people, and retrieving company information through standardized tools.

A multi-server system that converts PDF documents to Markdown format using FastMCP architecture with upload and convert servers orchestrated by a reactive client agent.

This MCP ensures consistent naming conventions for variables, database structures, and file organization by validating against project standards and providing smart naming suggestions.

A Model Context Protocol (MCP) server for AWS S3 integration using FastMCP and boto3. This server provides access to S3 functionality through MCP-compatible tools.

Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.

Provides tools for interacting with the Transmission BitTorrent client via natural language, enabling users to manage torrents, configure download settings, and monitor download activity.

A server based on Model Context Protocol that processes and parses design files (Vextra/Figma/Sketch/SVG), enabling AI assistants to access and manipulate design content.

Provides tools for making small, targeted edits to files using stream editors like sed and awk, enabling efficient modifications without full file replacement.

A locally-run MCP server that enables downloading images, videos, and LivePhotos from Xiaohongshu (RedNote) and retrieving detailed work information through URL-based queries.

An MCP server that provides shell command execution and OpenAI Whisper transcription capabilities for audio files.

A scalable, auto-discovering Model Context Protocol server that dynamically loads tools from the tools directory, enabling LLMs to access various capabilities through a standardized interface.

An MCP service that automatically generates and manages rule files for Trae AI projects, allowing users to create, read, update, and customize project rules based on project type and features.